Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
A Comparison of Genetic Algorithms for the Static Job Shop Scheduling Problem
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
Solving the Sports League Scheduling Problem with Tabu Search
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
Meta-heuristics: The State of the Art
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
Board-Laying Techniques Improve Local Search in Mixed Planning and Scheduling
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
An Empirical Evaluation of the Effectiveness of Local Search for Replanning
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
Local Search Genetic Algorithms for the Job Shop Scheduling Problem
Applied Intelligence
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
A comparative study of stochastic optimization methods in electric motor design
Applied Intelligence
A memetic algorithm for the job-shop with time-lags
Computers and Operations Research
Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
Parameter-less evolutionary search
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Applications of particle swarm optimisation in integrated process planning and scheduling
Robotics and Computer-Integrated Manufacturing
Computers and Operations Research
Computers and Operations Research
Nature-Inspired Algorithms for Optimisation
Nature-Inspired Algorithms for Optimisation
An artificial intelligence approach to the efficiency improvement of a universal motor
Engineering Applications of Artificial Intelligence
A Knowledge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems
Applied Soft Computing
Genetic algorithm for test pattern generator design
Applied Intelligence
Natural Intelligence for Scheduling, Planning and Packing Problems
Natural Intelligence for Scheduling, Planning and Packing Problems
Meta-Lamarckian learning in memetic algorithms
IEEE Transactions on Evolutionary Computation
A multi-objective approach to the application of real-world production scheduling
Expert Systems with Applications: An International Journal
Parameter-less algorithm for evolutionary-based optimization
Computational Optimization and Applications
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Planning problems can be solved with a large variety of different approaches, and a significant amount of work has been devoted to the automation of planning processes using different kinds of methods. This paper focuses on the use of specific local search algorithms for real-world production planning based on experiments with real-world data, and presents an adapted local search guided by evolutionary metaheuristics. To make algorithms efficient, many specifics need to be considered and included in the problem solving. We demonstrate that the use of specialized local searches can significantly improve the convergence and efficiency of the algorithm. The paper also includes an experimental study of the efficiency of two memetic algorithms, and presents a real-world software implementation for the production planning.